Numerical Parameter-Scan Data and Reproducibility Code for Scalar Self-Energy as a Cross-Channel Diagnostic of a Driven Hidden Resonance

This dataset supports the manuscript “Scalar Self-Energy as a Cross-Channel Diagnostic of a Driven Hidden Resonance”. It contains the complete deterministic numerical scan of 1,040,416 parameter points, point-by-point local-stability classifications, the full set of 684,352 accepted parameter points, benchmark calculations, resolution checks, symbolic consistency checks, and Python source code used to reproduce the scan and diagnostic figures. All 1,040,416 scanned points are locally stable. Of these, 684,352 points, corresponding to approximately 65.8%, satisfy the complete response-consistency and operating-margin criteria. The archive includes compressed full-scan arrays, the complete accepted-point table, summary tables, parameter definitions, software requirements, checksums, and an independent code-path reproducibility audit. No experimental data were generated.